Service / Agentic AI as a Service

Agent Design Studio

Translate priority business workflows into safe, testable agent designs with clear actions, tools, memory and human checkpoints.

Business context

What this capability solves

Agent reliability depends on workflow engineering, not only model choice. The design studio defines task decomposition, agent roles, tool contracts, knowledge, memory and failure behavior before build.

EBP Integra delivery principle

Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.

Deep-dive capabilities

Capability model

Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.

Workflow Decomposition

Break business process into deterministic steps, agent reasoning tasks and human decisions.

Agent Role Design

Define specialized agent responsibilities, hand-offs and termination conditions.

Tool Contract Design

Approved schemas, input/output validation, permissions and transaction boundaries.

Knowledge / RAG Design

Authorized sources, retrieval filters, freshness and provenance.

Memory Design

Session, user, workflow and durable memory with explicit retention.

Human-in-the-Loop

Approval, review, escalation and override at high-impact points.

Reference architecture

How the capability fits together

Final topology, control placement and deployment model are validated during discovery and detailed design.

Business & Agent Portfolio

Use cases, agent owners, risk tiers, process boundaries and value hypotheses.

AAIOS Control Plane

Agent registry, orchestration, identity, policy, approvals, memory, tool/model gateways and evaluation.

Enterprise Execution

Models, RAG, APIs, SaaS, databases, workflows and sandboxed agent runtimes.

AgentOps

Observability, SLOs, cost, incident handling, kill switch, evidence and continuous optimization.

Controls & governance

Least-privilege agent/workload identity
Human approval for high-impact actions
Approved tool schemas and transaction validation
Data classification/DLP at model and tool boundaries
Memory retention and deletion policy
Comprehensive traces and action provenance
Evaluation gates before production
Kill switch, rollback and incident escalation

Priority use cases

Compliance agent
Service operations agent
Knowledge/research agent
Finance workflow agent
Maintenance assistant
Multi-agent case management

Key deliverables

Agent design specification
Sequence/task graph
Tool/API contracts
RAG/knowledge design
Memory model
Approval matrix
Failure-mode catalogue

Integration considerations

AAIOS
Enterprise IAM/workload identity
APIs and SaaS systems
Data platform and RAG/vector stores
Workflow/BPM/ITSM
SIEM/SOAR and observability
GRC/evidence systems
Model endpoints/gateways

Implementation

Phased delivery

Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.

1. SelectPrioritize workflows by value, feasibility, risk and data/tool readiness.

2. EngineerDesign agents, tools, RAG, policy, human checkpoints and AAIOS runtime.

3. AssureSimulate, evaluate, red-team, approve and define SLOs.

4. OperateRun through AgentOps, manage incidents and continuously optimize.

Outcome and KPI framework

Design defects before buildTool contract coverageHuman checkpoint coverageKnowledge-source authorizationRework rate